Agent skill

Bi Funnel Analysis

by agentscope-ai in agentscope-ai/QwenPaw-Data

转化漏斗分析,构建产品链路转化漏斗、计算每步转化率、识别卡点、对比行业基准。触发条件:当需要分析多段行为的转化情况时触发,如对话涉及“漏斗”、“转化漏斗”、“阶段A-阶段B-阶段C转化情况”等相近词语时触发。

Apache-2.0Auto-check passedData & Analytics

Install Bi Funnel Analysis

skills CLI
$ npx skills add agentscope-ai/QwenPaw-Data --skill bi-funnel-analysis -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install agentscope-ai/QwenPaw-Data bi-funnel-analysis --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/agentscope-ai/QwenPaw-Data.git skills-src && mkdir -p .claude/skills && cp -r skills-src/packages/qwenpaw-data-skills/skills/atomic/bi-funnel-analysis .claude/skills/bi-funnel-analysis && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
bi-funnel-analysis
GitHub stars
127
Token cost
~425 tokens
SKILL.md length
120 words
Files
1
Skills in repo
29
Repo updated
First seen
Licence
Apache-2.0

At a glance

转化漏斗分析,构建产品链路转化漏斗、计算每步转化率、识别卡点、对比行业基准。触发条件:当需要分析多段行为的转化情况时触发,如对话涉及“漏斗”、“转化漏斗”、“阶段A-阶段B-阶段C转化情况”等相近词语时触发。

  • Works in 5 steps: 关键阶段明确与数据准备 → 各个阶段转化率计算 → 倒置漏斗状图表绘制(可选) → …
  • Tasks that involve Product analytics
  • SKILL.md covers 执行流程 and 输出格式
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Bi Funnel Analysis is an agent skill from agentscope-ai/QwenPaw-Data. 转化漏斗分析,构建产品链路转化漏斗、计算每步转化率、识别卡点、对比行业基准。触发条件:当需要分析多段行为的转化情况时触发,如对话涉及“漏斗”、“转化漏斗”、“阶段A-阶段B-阶段C转化情况”等相近词语时触发。

Its SKILL.md is about 430 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Data & Analytics, covering Product analytics. The repository describes itself as: Agentic enterprise data analytics: governed facts (DataBridge), reusable methodology (Skill-Hub), and controllable execution (Host). The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Product analytics

Example prompts

  • “阶段A-阶段B-阶段C转化情况”
  • “/bi-funnel-analysis”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. 关键阶段明确与数据准备
  2. 各个阶段转化率计算
  3. 倒置漏斗状图表绘制(可选)
  4. :识别转化卡点
  5. :输出漏斗分析结果并给出优化建议

What it can do on your machine

Read from SKILL.md and the folder at commit e0bae36. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are csv).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Bi Funnel Analysis loads about 425 tokens when it runs. Until then it costs about 31 tokens; SKILL.md has 120 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~31
When it runs · the whole SKILL.md, loaded when a task matches
~425

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from agentscope-ai/QwenPaw-Data at commit e0bae36, republished under its Apache-2.0 licence (© agentscope-ai). 120 words, ~425 tokens.

Download SKILL.mdSave it as .claude/skills/bi-funnel-analysis/SKILL.md (or your agent's skills folder).
name
bi-funnel-analysis
description
转化漏斗分析,构建产品链路转化漏斗、计算每步转化率、识别卡点、对比行业基准。触发条件:当需要分析多段行为的转化情况时触发,如对话涉及“漏斗”、“转化漏斗”、“阶段A-阶段B-阶段C转化情况”等相近词语时触发。

bi-funnel-analysis

漏斗分析用于科学衡量用户在关键路径各阶段的转化率与流失情况。它将完整业务流程拆分为连续步骤(如:浏览-点击-下单-支付),直观展示用户从流入到流出的转化情况。

执行流程

Step 1: 关键阶段明确与数据准备

根据转化漏斗分析需求以及提供数据,确定漏斗分析中所需分析的关键阶段,并在数据中定位对应的关键数据列。

整理数据:包含漏斗分析每个阶段可用于转化率计算的关键数据列的 CSV 文件,如,

csv
step_1_user_count,step_2_user_count,step_3_user_count
10000,5000,1000
6000,4000,500
3000,1000,200
1500,100,20
10,2,0

数据不应遗漏任何关键阶段的关键数据。

Step 2: 各个阶段转化率计算

使用 bi-conversion-rate skill 计算相邻阶段的转化率。不遗漏任何阶段的转化率计算。

Step 3: 倒置漏斗状图表绘制(可选)

根据步骤 2 计算得到的各个阶段转化率,绘制用户从流入到流出的倒置漏斗状图表。

Step 4:识别转化卡点

卡点判定规则:

  1. 绝对阈值法:步骤转化率 < 行业基准的 80%
  2. 相对落差法:该步骤转化率显著低于其他步骤(低于均值 1 个标准差)
  3. 流失贡献法:该步骤流失占比 > 30%

当行业基准可获得时优先使用绝对阈值法进行判定,其次,使用相对落差法,最后考虑流失贡献率。

卡点分级:

级别判定条件优化优先级
🔴 严重卡点转化率 < 20% 或流失占比 > 40%最高
🟡 中等卡点转化率 20%-50% 或流失占比 20%-40%中
🟢 轻度卡点转化率 50%-70% 或流失占比 10%-20%低
Step 5:输出漏斗分析结果并给出优化建议

以漏斗分析表的形式统计漏斗分析结果,并针对识别出的卡点,生成优化建议。

输出格式

漏斗分析结论以漏斗分析表+关键发现的形式反馈。

分析表包含关键步骤、原始数据、转化率以及识别卡点等信息,关键发现进行总结分析,如:

步骤用户数步骤转化率整体转化率流失率流失占比行业基准相对落差
首页访问10000-100%----
商品详情页600060%60%40%47%65%-5%
加入购物车300050%30%50%35%65%-15% 🟡
提交订单150050%15%50%18%55%-5%
完成支付120080%12%20%6%85%-5%

关键发现:

  • 整体转化率 12%,低于行业平均 15%
  • 主要卡点在「加入购物车」步骤(转化率 50%,低于行业 15 个百分点)
  • 该步骤流失占比 35%,是优化重点

© agentscope-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in packages/qwenpaw-data-skills/skills/atomic/bi-funnel-analysis of agentscope-ai/QwenPaw-Data.

Open the folder on GitHubat commit e0bae36

Compare with similar skills

Bi Funnel Analysis next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Bi Funnel Analysis compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Bi Funnel Analysis this skillagentscope-ai/QwenPaw-Data127—~425Automated safety check: PassApache-2.0
PostHog CLI Queriesdebugtheworldbot/keyStats1.5k—~1.2kAutomated safety check: PassMIT
Retentioneering Contributingretentioneering/retentioneering-tools927—~1.8kAutomated safety check: PassApache-2.0
Retentioneering Product Analyticsretentioneering/retentioneering-tools927—~1.6kAutomated safety check: PassApache-2.0
Feature Analytics Instrumentation Plannermistralai/mistral-vibe5.1k—~2.2kAutomated safety check: PassApache-2.0
Funnel Analysisliangdabiao/claude-data-analysis-ultra-main2901 repos~781Automated safety check: NotesNone

Similar skills

  • PostHog CLI Queries

    debugtheworldbot/keyStats

    Runs HogQL queries against this project's PostHog data from the terminal using posthog-cli, with bundled scripts for dashboard metadata the CLI itself has no command for.

    1.5k GitHub stars~1.2k tokensUpdated 8 days ago
    Data & AnalyticsAuto-check passed
  • Retentioneering Contributing

    retentioneering/retentioneering-tools

    Help the user turn their Retentioneering ideas, friction reports, bug findings, or feature needs into high-quality upstream contributions: from capturing and validating the idea, through minimal…

    927 GitHub stars~1.8k tokensUpdated 3 days ago
    Data & AnalyticsAuto-check passed
  • Retentioneering Product Analytics

    retentioneering/retentioneering-tools

    Analyze event logs, clickstreams, user paths, product funnels, retention, behavioral segments, transition graphs, step matrices, sequence patterns, and customer journeys using Retentioneering.

    927 GitHub stars~1.6k tokensUpdated 3 days ago
    Data & AnalyticsAuto-check passed
  • Official

    Plans which analytics events and properties a new feature needs, checks them against the existing event registry, and verifies them per environment.

    5.1k GitHub stars~2.2k tokensUpdated yesterday
    Data & AnalyticsAuto-check passed
  • Funnel Analysis

    liangdabiao/claude-data-analysis-ultra-main

    Analyze user conversion funnels, calculate step-by-step conversion rates, create interactive visualizations, and identify optimization opportunities.

    290 GitHub starsUsed in 1 repo~781 tokens
    Data & AnalyticsAuto-check: notes
  • Event Tracking

    linuxfoundation/insights

    Add event tracking calls to Vue/Nuxt components in the Insights app using the useTrackEvent composable.

    282 GitHub stars~1.9k tokensUpdated 9 days ago
    Data & AnalyticsAuto-check passed

More from agentscope-ai/QwenPaw-Data

All 29 skills in this repo
  • Bi Report Generation

    agentscope-ai/QwenPaw-Data

    将 BI 数据分析结果组织成可视化 HTML 报告。当分析完成、需要生成报告时调用. An agent skill from agentscope-ai/QwenPaw-Data.

    127 GitHub stars~1.2k tokensUpdated 5 days ago
    Auto-check passed
  • Fetch Data

    agentscope-ai/QwenPaw-Data

    取数 / 查数据 / 拉数据 / 跑 SQL。把自然语言取数需求转为 SQL,经数据湖仓执行后返回查询结果供下游分析。任何需要业务数据的任务在工作区缺少对应文件时都必须先调用此技能——覆盖 BI 业务分析、留存 / 转化 / 同期群分析、数据探索 EDA、统计建模、定量计算、元数据查询、数据查询。命中任一即触发:(1) 直接索要指标或记录,如「DAU 多少」「上月销售额」「3…

    127 GitHub stars~2.5k tokensUpdated 5 days ago
    Auto-check passed
  • Bi Adaptive Threshold

    agentscope-ai/QwenPaw-Data

    通过量化历史数据的自然波动幅度,自适应计算判定阈值。当需要从数据本身确定阈值(如波动阈值、影响度阈值等)、而非使用固定值时调用。仅适用于日/周粒度阈值确定。

    127 GitHub stars~726 tokensUpdated 5 days ago
    Auto-check passed
  • Bi Anomaly Detection

    agentscope-ai/QwenPaw-Data

    基于阈值检测时间序列中的显著异常波动点。当需要找出指标异常波动日期、识别数据异动时调用. An agent skill from agentscope-ai/QwenPaw-Data.

    127 GitHub stars~637 tokensUpdated 5 days ago
    Auto-check passed
  • Bi Attribution Analysis

    agentscope-ai/QwenPaw-Data

    计算各维度(组)值对指标变动的贡献度,支持可加型量值指标和加权平均型/率值指标。当需要计算贡献度、解释指标"为什么涨/跌"时调用。

    127 GitHub stars~1.2k tokensUpdated 5 days ago
    Auto-check passed
  • Bi Causal Attribution

    agentscope-ai/QwenPaw-Data

    从运营周报、活动文档、对话输入或文档工具 API 中提取业务事件,与指标异常时间窗口对齐,生成有证据支撑的因果归因假设并排序。当已知指标存在异常波动、需要从外部文档证据中解释"为什么"时调用。

    127 GitHub stars~1.3k tokensUpdated 5 days ago
    Auto-check passed

Questions about Bi Funnel Analysis

What does Bi Funnel Analysis do?

转化漏斗分析,构建产品链路转化漏斗、计算每步转化率、识别卡点、对比行业基准。触发条件:当需要分析多段行为的转化情况时触发,如对话涉及“漏斗”、“转化漏斗”、“阶段A-阶段B-阶段C转化情况”等相近词语时触发。. Bi Funnel Analysis is an agent skill from agentscope-ai/QwenPaw-Data.

When should I use Bi Funnel Analysis?

Bi Funnel Analysis fits situations like: tasks that involve Product analytics.

How do I install Bi Funnel Analysis in Claude Code?

Run `npx skills add agentscope-ai/QwenPaw-Data --skill bi-funnel-analysis -a claude-code`. Or copy the skill folder (packages/qwenpaw-data-skills/skills/atomic/bi-funnel-analysis in agentscope-ai/QwenPaw-Data) into .claude/skills/bi-funnel-analysis in your project. Claude Code loads it when a task matches its description.

How do I install Bi Funnel Analysis in Codex?

Run `npx skills add agentscope-ai/QwenPaw-Data --skill bi-funnel-analysis -a codex`. Or copy the skill folder (packages/qwenpaw-data-skills/skills/atomic/bi-funnel-analysis in agentscope-ai/QwenPaw-Data) into .agents/skills/bi-funnel-analysis in your project. Codex loads it when a task matches its description.

Can I use Bi Funnel Analysis in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add agentscope-ai/QwenPaw-Data --skill bi-funnel-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/bi-funnel-analysis, .gemini/skills/bi-funnel-analysis, .github/skills/bi-funnel-analysis and .opencode/skills/bi-funnel-analysis in your project.

What does Bi Funnel Analysis need to run?

SKILL.md names no scripts, command-line tools or credentials: Bi Funnel Analysis is instructions for the agent only.

Does Bi Funnel Analysis access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Bi Funnel Analysis safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Bi Funnel Analysis use?

Bi Funnel Analysis is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Bi Funnel Analysis use?

About 425 tokens (SKILL.md is roughly 1.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Bi Funnel Analysis?

Skills that share tags, products or a category with Bi Funnel Analysis: PostHog CLI Queries (debugtheworldbot/keyStats, 1.5k stars), Retentioneering Contributing (retentioneering/retentioneering-tools, 927 stars), Retentioneering Product Analytics (retentioneering/retentioneering-tools, 927 stars) and Feature Analytics Instrumentation Planner (mistralai/mistral-vibe, 5.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Bi Funnel Analysis?

agentscope-ai (a GitHub organization) maintains it in agentscope-ai/QwenPaw-Data, which has 127 GitHub stars. The repository holds 29 skills in this directory. The repository was last updated on October 5, 2026.

Source: agentscope-ai/QwenPaw-Data on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.